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contributor authorG. Failla
contributor authorDoctor of Philosophy
contributor authorP. D. Spanos
contributor authorFellow
contributor authorASME
contributor authorM. Di Paola
date accessioned2017-05-09T00:09:17Z
date available2017-05-09T00:09:17Z
date copyrightSeptember, 2003
date issued2003
identifier issn0021-8936
identifier otherJAMCAV-26564#708_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/127825
description abstractThis paper deals with the estimation of spectral properties of randomly excited multi-degree-of-freedom (MDOF) nonlinear vibrating systems. Each component of the vector of the stationary system response is expanded into a trigonometric Fourier series over an adequately long interval T. The unknown Fourier coefficients of individual samples of the response process are treated by harmonic balance, which leads to a set of nonlinear equations that are solved by Newton’s method. For polynomial nonlinearities of cubic order, exact solutions are developed to compute the Fourier coefficients of the nonlinear terms, including those involved in the Jacobian matrix associated with the implementation of Newton’s method. The proposed technique is also applicable for arbitrary nonlinearities via a cubicization procedure over the interval T. Upon determining the Fourier coefficients, estimates of the response power spectral density matrix are constructed by averaging their squared moduli over the samples ensemble. Examples of application prove the reliability of the technique by comparison with digital simulation data.
publisherThe American Society of Mechanical Engineers (ASME)
titleResponse Power Spectrum of Multi-Degree-of-Freedom Nonlinear Systems by a Galerkin Technique
typeJournal Paper
journal volume70
journal issue5
journal titleJournal of Applied Mechanics
identifier doi10.1115/1.1599916
journal fristpage708
journal lastpage714
identifier eissn1528-9036
keywordsSpectra (Spectroscopy)
keywordsSpectral energy distribution
keywordsNonlinear systems
keywordsNewton's method
keywordsPolynomials
keywordsFourier series
keywordsEquations
keywordsComputer simulation
keywordsFunctions
keywordsNonlinear equations
keywordsJacobian matrices AND Reliability
treeJournal of Applied Mechanics:;2003:;volume( 070 ):;issue: 005
contenttypeFulltext


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